At a Glance
- Tasks: Join us to optimise customer journeys and develop impactful data strategies.
- Company: iwoca, a leading fintech innovator empowering small businesses across Europe.
- Benefits: Flexible hours, medical insurance, generous holiday, and a learning budget.
- Why this job: Make a real difference for small businesses while growing your data science skills.
- Qualifications: Strong problem-solving skills and experience with data manipulation tools.
- Other info: Dynamic work culture with opportunities for professional development and team retreats.
The predicted salary is between 60000 - 80000 £ per year.
Data Scientist – New Applications
Hybrid in London, United Kingdom
The company
Imagine a world where every small business has the power to thrive. That\’s the world we\’re building at iwoca. Small businesses aren\’t just statistics – they\’re the heartbeat of our communities, the character of our high streets, and the engine of our economy. Since 2012, we\’ve revolutionised how these businesses access finance, turning what was once a lengthy, frustrating process into something remarkable: funding that\’s fast, flexible, and actually works for modern businesses.
Our impact speaks for itself: we\’ve provided billions in funding to more than 150,000 businesses across Europe, making us one of the continent\’s leading fintech innovators. But we\’re just getting started. Our mission? To empower one million businesses with the financial tools they deserve.
We combine cutting‑edge technology and data science with genuine human understanding to make finance feel less like a barrier and more like a superpower. Whether a business is managing cash flow or seizing unexpected opportunities, we ensure they get the funds they need – often within minutes.
The function
iwoca\’s Data Scientists specialise in supervised machine learning, statistical inference and exploratory data analysis, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium‑sized datasets.
The team
The New Applications team optimises the customer journey, from the moment a customer enters the signup flow until our systems have enough information to generate an offer. By identifying and implementing the most efficient ways to convert prospects into successful applicants, the team maximises the number of businesses that get our best possible offers. The team’s remit:
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Optimise the customer journey: Make it easy for potential customers to go from just ‘brand aware’ to enthusiastic applicants.
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Strategise customer assessments: Decide how and when we run credit checks to maximise conversion rates.
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Promote data efficiency: Continually improve how iwoca collects information from both applicants and third‑party sources, minimising how long customers wait for a decision.
The role
As a data scientist on the New Applications team you will work closely with the team lead in identifying opportunities and developing strategies for maximising the value we gain from customers who arrive on our signup. This will require you to develop a deep understanding of our customer journey and the dynamics that influence customer lifetime value. You will quantify these opportunities based on past data or modelled assumptions and design and run experiments to test them.
You will be the champion of analytical rigour within the team, ensuring that our experimental designs are correctly defined, our models are evolving and optimised for impact and that we evaluate results rigorously and without bias. You will also mentor and guide data and product analysts on the team.
The projects
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Design, implement and review experiments that test the impact of giving instant decisions to different customer segments.
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Work alongside the team lead and collaborate with other teams to develop an optimised strategy for deciding what documents we request from customers. This will include building, implementing and maintaining predictive models.
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Evaluate and experiment with integrating an LLM chat assistant into the sign‑up journey, optimizing for conversion and data quality.
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Improve and maintain time series models that predict our loan issuance numbers and other financial metrics.
The requirements
Essential:
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Strong problem‑solving skills in probability and statistics, ideally from a quantitative background (e.g., Mathematics, Physics, Statistics or similar fields).
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Ability to understand business context and translate data into actionable insights that guide decisions.
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Understanding of experimental design.
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Proficiency with data manipulation and modelling tools, e.g. pandas, statsmodels, R.
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Ability to take ownership of tasks and drive projects forward, developing towards end‑to‑end responsibility.
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Ability to communicate clearly in writing and speech, adapting technical detail to suit different audiences.
Bonus:
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Proficiency in Python, our primary programming language.
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Machine learning model development and evaluation experience
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Experience with SQL and business intelligence tools such as Looker.
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Understanding of Bayesian statistics.
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Experience building or maintaining data pipelines. Snowflake/dbt experience is particularly valuable.
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Experience using LLM APIs in a production environment.
The salary
We expect to pay from £70,000 – £90,000 for this role. But, we’re open‑minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews.
The culture
At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services.
The offices
We put a lot of effort into making iwoca a great place to work:
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Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks.
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Events and clubs, like bingo, comedy nights, football, etc.
The benefits
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Flexible working hours.
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Medical insurance from Vitality, including discounted gym membership.
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A private GP service (separate from Vitality) for you, your partner, and your dependents.
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25 days’ holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave.
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A one‑month, fully paid sabbatical after four years.
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Instant access to external counselling and therapy sessions for team members that need emotional or mental health support.
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3% Pension contributions on total earnings.
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An employee equity incentive scheme.
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Generous parental leave and a nursery tax benefit scheme to help you save money.
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Electric car scheme and cycle to work scheme.
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Two company retreats a year: we’ve been to France, Italy, Spain, and further afield.
And to make sure we all keep learning, we offer:
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A learning and development budget for everyone.
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Company‑wide talks with internal and external speakers.
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Access to learning platforms like Treehouse.
Useful links:
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iwoca benefits & policies
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Interview welcome pack
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Data Scientist - New Applications employer: Iwoca Ltd
Contact Detail:
Iwoca Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - New Applications
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current iwoca employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for your interview by understanding iwoca’s mission and values. Show us how your skills as a Data Scientist can help empower small businesses. Tailor your examples to highlight your problem-solving skills and experience with data analysis.
✨Tip Number 3
Practice your technical skills! Brush up on your knowledge of machine learning, statistical inference, and experimental design. We love candidates who can demonstrate their expertise through real-world examples or projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the iwoca team and contributing to our mission.
We think you need these skills to ace Data Scientist - New Applications
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role at iwoca. Highlight your experience with supervised machine learning, statistical inference, and any relevant projects that showcase your problem-solving skills in probability and statistics.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about helping small businesses thrive and how your skills can contribute to iwoca's mission. Keep it concise but impactful!
Showcase Your Technical Skills: Don’t forget to mention your proficiency with data manipulation tools like pandas and statsmodels. If you have experience with Python or SQL, make sure to highlight that too, as it’s super relevant for this role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Iwoca Ltd
✨Know Your Data Science Stuff
Make sure you brush up on your probability, statistics, and machine learning concepts. Be ready to discuss how you've applied these skills in real-world scenarios, especially in relation to customer journeys and data analysis.
✨Understand the Business Context
iwoca is all about empowering small businesses, so show that you understand their challenges. Think about how your data insights can translate into actionable strategies that help these businesses thrive.
✨Prepare for Experimental Design Questions
Since the role involves designing experiments, be prepared to talk about your experience with experimental design. Have examples ready where you've tested hypotheses and evaluated results rigorously.
✨Communicate Clearly
You’ll need to explain complex data concepts to non-technical stakeholders. Practice simplifying your explanations and adapting your communication style to suit different audiences. This will show that you can bridge the gap between data science and business needs.